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Software for mass spectrometry imaging designed to quantify and normalize MS images in various study types. It is compatible with a variety of MSI instruments, including Bruker, Sciex, Thermo and with the iMZML data format. Rational Numbers Excel Add-In Proprietary
In probability theory, a log-normal (or lognormal) distribution is a continuous probability distribution of a random variable whose logarithm is normally distributed.Thus, if the random variable X is log-normally distributed, then Y = ln(X) has a normal distribution.
Mass spectrometry is a scientific technique for measuring the mass-to-charge ratio of ions. It is often coupled to chromatographic techniques such as gas-or liquid chromatography and has found widespread adoption in the fields of analytical chemistry and biochemistry where it can be used to identify and characterize small molecules and proteins ().
Raw data (sometimes colloquially called "sources" data or "eggy" data, the latter a reference to the data being "uncooked", that is, "unprocessed", like a raw egg) are the data input to processing. A distinction is made between data and information , to the effect that information is the end product of data processing.
General 3D mathematics with modelling and visualization of geoscience data ModelGeo AS Free for non-profit use Windows C++, TCL: Originally a petroleum geology program, reads all common geology and geophysics data formats ParaViewGeo [22] Geoscience extension of ParaView Includes readers and filters Kitware ParaView, Objectivity Originally ...
Normalizing residuals when parameters are estimated, particularly across different data points in regression analysis. Standardized moment: Normalizing moments, using the standard deviation as a measure of scale. Coefficient of variation
In probability theory, a logit-normal distribution is a probability distribution of a random variable whose logit has a normal distribution.If Y is a random variable with a normal distribution, and t is the standard logistic function, then X = t(Y) has a logit-normal distribution; likewise, if X is logit-normally distributed, then Y = logit(X)= log (X/(1-X)) is normally distributed.
On a log–linear plot (logarithmic scale on the y-axis), pick some fixed point (x 0, F 0), where F 0 is shorthand for F(x 0), somewhere on the straight line in the above graph, and further some other arbitrary point (x 1, F 1) on the same graph.